Modified:
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/org/apache/commons/rng/sampling/package-tree.html
==============================================================================
---
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/org/apache/commons/rng/sampling/package-tree.html
(original)
+++
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/org/apache/commons/rng/sampling/package-tree.html
Thu Apr 20 11:33:45 2017
@@ -4,7 +4,7 @@
<head>
<!-- Generated by javadoc -->
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-<title>org.apache.commons.rng.sampling Class Hierarchy (Apache Commons RNG
Sampling 1.0 API)</title>
+<title>org.apache.commons.rng.sampling Class Hierarchy (Apache Commons RNG
Sampling 1.1-SNAPSHOT API)</title>
<link rel="stylesheet" type="text/css" href="../../../../../stylesheet.css"
title="Style">
<script type="text/javascript" src="../../../../../script.js"></script>
</head>
@@ -12,7 +12,7 @@
<script type="text/javascript"><!--
try {
if (location.href.indexOf('is-external=true') == -1) {
- parent.document.title="org.apache.commons.rng.sampling Class
Hierarchy (Apache Commons RNG Sampling 1.0 API)";
+ parent.document.title="org.apache.commons.rng.sampling Class
Hierarchy (Apache Commons RNG Sampling 1.1-SNAPSHOT API)";
}
}
catch(err) {
@@ -137,6 +137,6 @@
<!-- -->
</a></div>
<!-- ======== END OF BOTTOM NAVBAR ======= -->
-<p class="legalCopy"><small>Copyright © 2016 <a
href="https://www.apache.org/";>The Apache Software Foundation</a>. All rights
reserved.</small></p>
+<p class="legalCopy"><small>Copyright © 2016–2017 <a
href="https://www.apache.org/";>The Apache Software Foundation</a>. All rights
reserved.</small></p>
</body>
</html>
Modified:
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/org/apache/commons/rng/sampling/package-use.html
==============================================================================
---
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/org/apache/commons/rng/sampling/package-use.html
(original)
+++
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/org/apache/commons/rng/sampling/package-use.html
Thu Apr 20 11:33:45 2017
@@ -4,7 +4,7 @@
<head>
<!-- Generated by javadoc -->
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-<title>Uses of Package org.apache.commons.rng.sampling (Apache Commons RNG
Sampling 1.0 API)</title>
+<title>Uses of Package org.apache.commons.rng.sampling (Apache Commons RNG
Sampling 1.1-SNAPSHOT API)</title>
<link rel="stylesheet" type="text/css" href="../../../../../stylesheet.css"
title="Style">
<script type="text/javascript" src="../../../../../script.js"></script>
</head>
@@ -12,7 +12,7 @@
<script type="text/javascript"><!--
try {
if (location.href.indexOf('is-external=true') == -1) {
- parent.document.title="Uses of Package
org.apache.commons.rng.sampling (Apache Commons RNG Sampling 1.0 API)";
+ parent.document.title="Uses of Package
org.apache.commons.rng.sampling (Apache Commons RNG Sampling 1.1-SNAPSHOT API)";
}
}
catch(err) {
@@ -122,6 +122,6 @@
<!-- -->
</a></div>
<!-- ======== END OF BOTTOM NAVBAR ======= -->
-<p class="legalCopy"><small>Copyright © 2016 <a
href="https://www.apache.org/";>The Apache Software Foundation</a>. All rights
reserved.</small></p>
+<p class="legalCopy"><small>Copyright © 2016–2017 <a
href="https://www.apache.org/";>The Apache Software Foundation</a>. All rights
reserved.</small></p>
</body>
</html>
Modified:
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/overview-frame.html
==============================================================================
---
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/overview-frame.html
(original)
+++
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/overview-frame.html
Thu Apr 20 11:33:45 2017
@@ -4,7 +4,7 @@
<head>
<!-- Generated by javadoc -->
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-<title>Overview List (Apache Commons RNG Sampling 1.0 API)</title>
+<title>Overview List (Apache Commons RNG Sampling 1.1-SNAPSHOT API)</title>
<link rel="stylesheet" type="text/css" href="stylesheet.css" title="Style">
<script type="text/javascript" src="script.js"></script>
</head>
Modified:
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/overview-summary.html
==============================================================================
---
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/overview-summary.html
(original)
+++
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/overview-summary.html
Thu Apr 20 11:33:45 2017
@@ -4,7 +4,7 @@
<head>
<!-- Generated by javadoc -->
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-<title>Overview (Apache Commons RNG Sampling 1.0 API)</title>
+<title>Overview (Apache Commons RNG Sampling 1.1-SNAPSHOT API)</title>
<link rel="stylesheet" type="text/css" href="stylesheet.css" title="Style">
<script type="text/javascript" src="script.js"></script>
</head>
@@ -12,7 +12,7 @@
<script type="text/javascript"><!--
try {
if (location.href.indexOf('is-external=true') == -1) {
- parent.document.title="Overview (Apache Commons RNG Sampling 1.0
API)";
+ parent.document.title="Overview (Apache Commons RNG Sampling
1.1-SNAPSHOT API)";
}
}
catch(err) {
@@ -71,7 +71,7 @@
</a></div>
<!-- ========= END OF TOP NAVBAR ========= -->
<div class="header">
-<h1 class="title">Apache Commons RNG Sampling 1.0 API</h1>
+<h1 class="title">Apache Commons RNG Sampling 1.1-SNAPSHOT API</h1>
</div>
<div class="contentContainer">
<table class="overviewSummary" border="0" cellpadding="3" cellspacing="0"
summary="Packages table, listing packages, and an explanation">
@@ -144,6 +144,6 @@
<!-- -->
</a></div>
<!-- ======== END OF BOTTOM NAVBAR ======= -->
-<p class="legalCopy"><small>Copyright © 2016 <a
href="https://www.apache.org/";>The Apache Software Foundation</a>. All rights
reserved.</small></p>
+<p class="legalCopy"><small>Copyright © 2016–2017 <a
href="https://www.apache.org/";>The Apache Software Foundation</a>. All rights
reserved.</small></p>
</body>
</html>
Modified:
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/overview-tree.html
==============================================================================
---
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/overview-tree.html
(original)
+++
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/overview-tree.html
Thu Apr 20 11:33:45 2017
@@ -4,7 +4,7 @@
<head>
<!-- Generated by javadoc -->
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-<title>Class Hierarchy (Apache Commons RNG Sampling 1.0 API)</title>
+<title>Class Hierarchy (Apache Commons RNG Sampling 1.1-SNAPSHOT API)</title>
<link rel="stylesheet" type="text/css" href="stylesheet.css" title="Style">
<script type="text/javascript" src="script.js"></script>
</head>
@@ -12,7 +12,7 @@
<script type="text/javascript"><!--
try {
if (location.href.indexOf('is-external=true') == -1) {
- parent.document.title="Class Hierarchy (Apache Commons RNG
Sampling 1.0 API)";
+ parent.document.title="Class Hierarchy (Apache Commons RNG
Sampling 1.1-SNAPSHOT API)";
}
}
catch(err) {
@@ -84,6 +84,7 @@
<li type="circle">java.lang.<a
href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true";
title="class or interface in java.lang"><span
class="typeNameLink">Object</span></a>
<ul>
<li type="circle">org.apache.commons.rng.sampling.<a
href="org/apache/commons/rng/sampling/CollectionSampler.html" title="class in
org.apache.commons.rng.sampling"><span
class="typeNameLink">CollectionSampler</span></a><T></li>
+<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/GaussianSampler.html"
title="class in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">GaussianSampler</span></a> (implements
org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/ContinuousSampler.html"
title="interface in
org.apache.commons.rng.sampling.distribution">ContinuousSampler</a>)</li>
<li type="circle">org.apache.commons.rng.sampling.<a
href="org/apache/commons/rng/sampling/ListSampler.html" title="class in
org.apache.commons.rng.sampling"><span
class="typeNameLink">ListSampler</span></a></li>
<li type="circle">org.apache.commons.rng.sampling.<a
href="org/apache/commons/rng/sampling/PermutationSampler.html" title="class in
org.apache.commons.rng.sampling"><span
class="typeNameLink">PermutationSampler</span></a></li>
<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/SamplerBase.html"
title="class in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">SamplerBase</span></a>
@@ -92,12 +93,15 @@
<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.html"
title="class in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">AhrensDieterMarsagliaTsangGammaSampler</span></a>
(implements org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/ContinuousSampler.html"
title="interface in
org.apache.commons.rng.sampling.distribution">ContinuousSampler</a>)</li>
<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/BoxMullerGaussianSampler.html"
title="class in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">BoxMullerGaussianSampler</span></a> (implements
org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/ContinuousSampler.html"
title="interface in
org.apache.commons.rng.sampling.distribution">ContinuousSampler</a>)</li>
<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/BoxMullerLogNormalSampler.html"
title="class in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">BoxMullerLogNormalSampler</span></a> (implements
org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/ContinuousSampler.html"
title="interface in
org.apache.commons.rng.sampling.distribution">ContinuousSampler</a>)</li>
+<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/BoxMullerNormalizedGaussianSampler.html"
title="class in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">BoxMullerNormalizedGaussianSampler</span></a> (implements
org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/NormalizedGaussianSampler.html"
title="interface in
org.apache.commons.rng.sampling.distribution">NormalizedGaussianSampler</a>)</li>
<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/ChengBetaSampler.html"
title="class in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">ChengBetaSampler</span></a> (implements
org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/ContinuousSampler.html"
title="interface in
org.apache.commons.rng.sampling.distribution">ContinuousSampler</a>)</li>
<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/ContinuousUniformSampler.html"
title="class in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">ContinuousUniformSampler</span></a> (implements
org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/ContinuousSampler.html"
title="interface in
org.apache.commons.rng.sampling.distribution">ContinuousSampler</a>)</li>
<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/DiscreteUniformSampler.html"
title="class in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">DiscreteUniformSampler</span></a> (implements
org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/DiscreteSampler.html"
title="interface in
org.apache.commons.rng.sampling.distribution">DiscreteSampler</a>)</li>
<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/InverseTransformContinuousSampler.html"
title="class in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">InverseTransformContinuousSampler</span></a> (implements
org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/ContinuousSampler.html"
title="interface in
org.apache.commons.rng.sampling.distribution">ContinuousSampler</a>)</li>
<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/InverseTransformDiscreteSampler.html"
title="class in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">InverseTransformDiscreteSampler</span></a> (implements
org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/DiscreteSampler.html"
title="interface in
org.apache.commons.rng.sampling.distribution">DiscreteSampler</a>)</li>
<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/InverseTransformParetoSampler.html"
title="class in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">InverseTransformParetoSampler</span></a> (implements
org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/ContinuousSampler.html"
title="interface in
org.apache.commons.rng.sampling.distribution">ContinuousSampler</a>)</li>
+<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/MarsagliaLogNormalSampler.html"
title="class in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">MarsagliaLogNormalSampler</span></a> (implements
org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/ContinuousSampler.html"
title="interface in
org.apache.commons.rng.sampling.distribution">ContinuousSampler</a>)</li>
+<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/MarsagliaNormalizedGaussianSampler.html"
title="class in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">MarsagliaNormalizedGaussianSampler</span></a> (implements
org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/NormalizedGaussianSampler.html"
title="interface in
org.apache.commons.rng.sampling.distribution">NormalizedGaussianSampler</a>)</li>
<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/PoissonSampler.html"
title="class in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">PoissonSampler</span></a> (implements
org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/DiscreteSampler.html"
title="interface in
org.apache.commons.rng.sampling.distribution">DiscreteSampler</a>)</li>
<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/RejectionInversionZipfSampler.html"
title="class in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">RejectionInversionZipfSampler</span></a> (implements
org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/DiscreteSampler.html"
title="interface in
org.apache.commons.rng.sampling.distribution">DiscreteSampler</a>)</li>
</ul>
@@ -108,7 +112,11 @@
<h2 title="Interface Hierarchy">Interface Hierarchy</h2>
<ul>
<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/ContinuousInverseCumulativeProbabilityFunction.html"
title="interface in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">ContinuousInverseCumulativeProbabilityFunction</span></a></li>
-<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/ContinuousSampler.html"
title="interface in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">ContinuousSampler</span></a></li>
+<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/ContinuousSampler.html"
title="interface in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">ContinuousSampler</span></a>
+<ul>
+<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/NormalizedGaussianSampler.html"
title="interface in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">NormalizedGaussianSampler</span></a></li>
+</ul>
+</li>
<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/DiscreteInverseCumulativeProbabilityFunction.html"
title="interface in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">DiscreteInverseCumulativeProbabilityFunction</span></a></li>
<li type="circle">org.apache.commons.rng.sampling.distribution.<a
href="org/apache/commons/rng/sampling/distribution/DiscreteSampler.html"
title="interface in org.apache.commons.rng.sampling.distribution"><span
class="typeNameLink">DiscreteSampler</span></a></li>
</ul>
@@ -161,6 +169,6 @@
<!-- -->
</a></div>
<!-- ======== END OF BOTTOM NAVBAR ======= -->
-<p class="legalCopy"><small>Copyright © 2016 <a
href="https://www.apache.org/";>The Apache Software Foundation</a>. All rights
reserved.</small></p>
+<p class="legalCopy"><small>Copyright © 2016–2017 <a
href="https://www.apache.org/";>The Apache Software Foundation</a>. All rights
reserved.</small></p>
</body>
</html>
Modified:
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/CollectionSampler.html
==============================================================================
---
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/CollectionSampler.html
(original)
+++
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/CollectionSampler.html
Thu Apr 20 11:33:45 2017
@@ -50,11 +50,11 @@
<span class="sourceLineNo">042</span> * @param rng Generator of uniformly
distributed random numbers.<a name="line.42"></a>
<span class="sourceLineNo">043</span> * @param collection Collection to be
sampled.<a name="line.43"></a>
<span class="sourceLineNo">044</span> * A (shallow) copy will be stored in
the created instance.<a name="line.44"></a>
-<span class="sourceLineNo">045</span> * @throws IllegalArgumentException
if {@code collection.size() <= 0}.<a name="line.45"></a>
+<span class="sourceLineNo">045</span> * @throws IllegalArgumentException
if {@code collection} is empty.<a name="line.45"></a>
<span class="sourceLineNo">046</span> */<a name="line.46"></a>
<span class="sourceLineNo">047</span> public
CollectionSampler(UniformRandomProvider rng,<a name="line.47"></a>
<span class="sourceLineNo">048</span>
Collection<T> collection) {<a name="line.48"></a>
-<span class="sourceLineNo">049</span> if (collection.size() <= 0)
{<a name="line.49"></a>
+<span class="sourceLineNo">049</span> if (collection.isEmpty()) {<a
name="line.49"></a>
<span class="sourceLineNo">050</span> throw new
IllegalArgumentException("Empty collection");<a name="line.50"></a>
<span class="sourceLineNo">051</span> }<a name="line.51"></a>
<span class="sourceLineNo">052</span><a name="line.52"></a>
@@ -63,23 +63,16 @@
<span class="sourceLineNo">055</span> }<a name="line.55"></a>
<span class="sourceLineNo">056</span><a name="line.56"></a>
<span class="sourceLineNo">057</span> /**<a name="line.57"></a>
-<span class="sourceLineNo">058</span> * Picks one of the items in the
given {@code collection}.<a name="line.58"></a>
-<span class="sourceLineNo">059</span> *<a name="line.59"></a>
-<span class="sourceLineNo">060</span> * <p><a name="line.60"></a>
-<span class="sourceLineNo">061</span> * Sampling is without replacement;
but if the source collection<a name="line.61"></a>
-<span class="sourceLineNo">062</span> * contains identical objects, the
sample may include repeats.<a name="line.62"></a>
-<span class="sourceLineNo">063</span> * </p><a name="line.63"></a>
-<span class="sourceLineNo">064</span> * <p><a name="line.64"></a>
-<span class="sourceLineNo">065</span> * There is no guarantee that the
concrete type of the returned<a name="line.65"></a>
-<span class="sourceLineNo">066</span> * collection is the same as the
source collection.<a name="line.66"></a>
-<span class="sourceLineNo">067</span> * </p><a name="line.67"></a>
-<span class="sourceLineNo">068</span> *<a name="line.68"></a>
-<span class="sourceLineNo">069</span> * @return a random sample.<a
name="line.69"></a>
-<span class="sourceLineNo">070</span> */<a name="line.70"></a>
-<span class="sourceLineNo">071</span> public T sample() {<a
name="line.71"></a>
-<span class="sourceLineNo">072</span> return
items.get(rng.nextInt(items.size()));<a name="line.72"></a>
-<span class="sourceLineNo">073</span> }<a name="line.73"></a>
-<span class="sourceLineNo">074</span>}<a name="line.74"></a>
+<span class="sourceLineNo">058</span> * Picks one of the items from the<a
name="line.58"></a>
+<span class="sourceLineNo">059</span> * {@link
#CollectionSampler(UniformRandomProvider,Collection)<a name="line.59"></a>
+<span class="sourceLineNo">060</span> * collection passed to the
constructor}.<a name="line.60"></a>
+<span class="sourceLineNo">061</span> *<a name="line.61"></a>
+<span class="sourceLineNo">062</span> * @return a random sample.<a
name="line.62"></a>
+<span class="sourceLineNo">063</span> */<a name="line.63"></a>
+<span class="sourceLineNo">064</span> public T sample() {<a
name="line.64"></a>
+<span class="sourceLineNo">065</span> return
items.get(rng.nextInt(items.size()));<a name="line.65"></a>
+<span class="sourceLineNo">066</span> }<a name="line.66"></a>
+<span class="sourceLineNo">067</span>}<a name="line.67"></a>
Modified:
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.html
==============================================================================
---
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.html
(original)
+++
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.html
Thu Apr 20 11:33:45 2017
@@ -55,7 +55,7 @@
<span class="sourceLineNo">047</span> /** The alpha parameter. */<a
name="line.47"></a>
<span class="sourceLineNo">048</span> private final double alpha;<a
name="line.48"></a>
<span class="sourceLineNo">049</span> /** Gaussian sampling. */<a
name="line.49"></a>
-<span class="sourceLineNo">050</span> private final
BoxMullerGaussianSampler gaussian;<a name="line.50"></a>
+<span class="sourceLineNo">050</span> private final
NormalizedGaussianSampler gaussian;<a name="line.50"></a>
<span class="sourceLineNo">051</span><a name="line.51"></a>
<span class="sourceLineNo">052</span> /**<a name="line.52"></a>
<span class="sourceLineNo">053</span> * @param rng Generator of uniformly
distributed random numbers.<a name="line.53"></a>
@@ -68,7 +68,7 @@
<span class="sourceLineNo">060</span> super(rng);<a name="line.60"></a>
<span class="sourceLineNo">061</span> this.alpha = alpha;<a
name="line.61"></a>
<span class="sourceLineNo">062</span> this.theta = theta;<a
name="line.62"></a>
-<span class="sourceLineNo">063</span> gaussian = new
BoxMullerGaussianSampler(rng, 0, 1);<a name="line.63"></a>
+<span class="sourceLineNo">063</span> gaussian = new
MarsagliaNormalizedGaussianSampler(rng);<a name="line.63"></a>
<span class="sourceLineNo">064</span> }<a name="line.64"></a>
<span class="sourceLineNo">065</span><a name="line.65"></a>
<span class="sourceLineNo">066</span> /** {@inheritDoc} */<a
name="line.66"></a>
Modified:
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/distribution/BoxMullerGaussianSampler.html
==============================================================================
---
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/distribution/BoxMullerGaussianSampler.html
(original)
+++
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/distribution/BoxMullerGaussianSampler.html
Thu Apr 20 11:33:45 2017
@@ -29,65 +29,69 @@
<span class="sourceLineNo">021</span>/**<a name="line.21"></a>
<span class="sourceLineNo">022</span> * <a
href="https://en.wikipedia.org/wiki/Box%E2%80%93Muller_transform"><a
name="line.22"></a>
<span class="sourceLineNo">023</span> * Box-Muller algorithm</a> for
sampling from a Gaussian distribution.<a name="line.23"></a>
-<span class="sourceLineNo">024</span> */<a name="line.24"></a>
-<span class="sourceLineNo">025</span>public class BoxMullerGaussianSampler<a
name="line.25"></a>
-<span class="sourceLineNo">026</span> extends SamplerBase<a
name="line.26"></a>
-<span class="sourceLineNo">027</span> implements ContinuousSampler {<a
name="line.27"></a>
-<span class="sourceLineNo">028</span> /** Next gaussian. */<a
name="line.28"></a>
-<span class="sourceLineNo">029</span> private double nextGaussian =
Double.NaN;<a name="line.29"></a>
-<span class="sourceLineNo">030</span> /** Mean. */<a name="line.30"></a>
-<span class="sourceLineNo">031</span> private final double mean;<a
name="line.31"></a>
-<span class="sourceLineNo">032</span> /** standardDeviation. */<a
name="line.32"></a>
-<span class="sourceLineNo">033</span> private final double
standardDeviation;<a name="line.33"></a>
-<span class="sourceLineNo">034</span><a name="line.34"></a>
-<span class="sourceLineNo">035</span> /**<a name="line.35"></a>
-<span class="sourceLineNo">036</span> * @param rng Generator of uniformly
distributed random numbers.<a name="line.36"></a>
-<span class="sourceLineNo">037</span> * @param mean Mean of the Gaussian
distribution.<a name="line.37"></a>
-<span class="sourceLineNo">038</span> * @param standardDeviation Standard
deviation of the Gaussian distribution.<a name="line.38"></a>
-<span class="sourceLineNo">039</span> */<a name="line.39"></a>
-<span class="sourceLineNo">040</span> public
BoxMullerGaussianSampler(UniformRandomProvider rng,<a name="line.40"></a>
-<span class="sourceLineNo">041</span>
double mean,<a name="line.41"></a>
-<span class="sourceLineNo">042</span>
double standardDeviation) {<a name="line.42"></a>
-<span class="sourceLineNo">043</span> super(rng);<a name="line.43"></a>
-<span class="sourceLineNo">044</span> this.mean = mean;<a
name="line.44"></a>
-<span class="sourceLineNo">045</span> this.standardDeviation =
standardDeviation;<a name="line.45"></a>
-<span class="sourceLineNo">046</span> }<a name="line.46"></a>
-<span class="sourceLineNo">047</span><a name="line.47"></a>
-<span class="sourceLineNo">048</span> /** {@inheritDoc} */<a
name="line.48"></a>
-<span class="sourceLineNo">049</span> @Override<a name="line.49"></a>
-<span class="sourceLineNo">050</span> public double sample() {<a
name="line.50"></a>
-<span class="sourceLineNo">051</span> final double random;<a
name="line.51"></a>
-<span class="sourceLineNo">052</span> if (Double.isNaN(nextGaussian))
{<a name="line.52"></a>
-<span class="sourceLineNo">053</span> // Generate a pair of
Gaussian numbers.<a name="line.53"></a>
-<span class="sourceLineNo">054</span><a name="line.54"></a>
-<span class="sourceLineNo">055</span> final double x =
nextDouble();<a name="line.55"></a>
-<span class="sourceLineNo">056</span> final double y =
nextDouble();<a name="line.56"></a>
-<span class="sourceLineNo">057</span> final double alpha = 2 *
Math.PI * x;<a name="line.57"></a>
-<span class="sourceLineNo">058</span> final double r = Math.sqrt(-2
* Math.log(y));<a name="line.58"></a>
-<span class="sourceLineNo">059</span><a name="line.59"></a>
-<span class="sourceLineNo">060</span> // Return the first element
of the generated pair.<a name="line.60"></a>
-<span class="sourceLineNo">061</span> random = r *
Math.cos(alpha);<a name="line.61"></a>
-<span class="sourceLineNo">062</span><a name="line.62"></a>
-<span class="sourceLineNo">063</span> // Keep second element of the
pair for next invocation.<a name="line.63"></a>
-<span class="sourceLineNo">064</span> nextGaussian = r *
Math.sin(alpha);<a name="line.64"></a>
-<span class="sourceLineNo">065</span> } else {<a name="line.65"></a>
-<span class="sourceLineNo">066</span> // Use the second element of
the pair (generated at the<a name="line.66"></a>
-<span class="sourceLineNo">067</span> // previous invocation).<a
name="line.67"></a>
-<span class="sourceLineNo">068</span> random = nextGaussian;<a
name="line.68"></a>
-<span class="sourceLineNo">069</span><a name="line.69"></a>
-<span class="sourceLineNo">070</span> // Both elements of the pair
have been used.<a name="line.70"></a>
-<span class="sourceLineNo">071</span> nextGaussian = Double.NaN;<a
name="line.71"></a>
-<span class="sourceLineNo">072</span> }<a name="line.72"></a>
+<span class="sourceLineNo">024</span> *<a name="line.24"></a>
+<span class="sourceLineNo">025</span> * @deprecated since v1.1. Please use
{@link BoxMullerNormalizedGaussianSampler}<a name="line.25"></a>
+<span class="sourceLineNo">026</span> * and {@link GaussianSampler} instead.<a
name="line.26"></a>
+<span class="sourceLineNo">027</span> */<a name="line.27"></a>
+<span class="sourceLineNo">028</span>@Deprecated<a name="line.28"></a>
+<span class="sourceLineNo">029</span>public class BoxMullerGaussianSampler<a
name="line.29"></a>
+<span class="sourceLineNo">030</span> extends SamplerBase<a
name="line.30"></a>
+<span class="sourceLineNo">031</span> implements ContinuousSampler {<a
name="line.31"></a>
+<span class="sourceLineNo">032</span> /** Next gaussian. */<a
name="line.32"></a>
+<span class="sourceLineNo">033</span> private double nextGaussian =
Double.NaN;<a name="line.33"></a>
+<span class="sourceLineNo">034</span> /** Mean. */<a name="line.34"></a>
+<span class="sourceLineNo">035</span> private final double mean;<a
name="line.35"></a>
+<span class="sourceLineNo">036</span> /** standardDeviation. */<a
name="line.36"></a>
+<span class="sourceLineNo">037</span> private final double
standardDeviation;<a name="line.37"></a>
+<span class="sourceLineNo">038</span><a name="line.38"></a>
+<span class="sourceLineNo">039</span> /**<a name="line.39"></a>
+<span class="sourceLineNo">040</span> * @param rng Generator of uniformly
distributed random numbers.<a name="line.40"></a>
+<span class="sourceLineNo">041</span> * @param mean Mean of the Gaussian
distribution.<a name="line.41"></a>
+<span class="sourceLineNo">042</span> * @param standardDeviation Standard
deviation of the Gaussian distribution.<a name="line.42"></a>
+<span class="sourceLineNo">043</span> */<a name="line.43"></a>
+<span class="sourceLineNo">044</span> public
BoxMullerGaussianSampler(UniformRandomProvider rng,<a name="line.44"></a>
+<span class="sourceLineNo">045</span>
double mean,<a name="line.45"></a>
+<span class="sourceLineNo">046</span>
double standardDeviation) {<a name="line.46"></a>
+<span class="sourceLineNo">047</span> super(rng);<a name="line.47"></a>
+<span class="sourceLineNo">048</span> this.mean = mean;<a
name="line.48"></a>
+<span class="sourceLineNo">049</span> this.standardDeviation =
standardDeviation;<a name="line.49"></a>
+<span class="sourceLineNo">050</span> }<a name="line.50"></a>
+<span class="sourceLineNo">051</span><a name="line.51"></a>
+<span class="sourceLineNo">052</span> /** {@inheritDoc} */<a
name="line.52"></a>
+<span class="sourceLineNo">053</span> @Override<a name="line.53"></a>
+<span class="sourceLineNo">054</span> public double sample() {<a
name="line.54"></a>
+<span class="sourceLineNo">055</span> final double random;<a
name="line.55"></a>
+<span class="sourceLineNo">056</span> if (Double.isNaN(nextGaussian))
{<a name="line.56"></a>
+<span class="sourceLineNo">057</span> // Generate a pair of
Gaussian numbers.<a name="line.57"></a>
+<span class="sourceLineNo">058</span><a name="line.58"></a>
+<span class="sourceLineNo">059</span> final double x =
nextDouble();<a name="line.59"></a>
+<span class="sourceLineNo">060</span> final double y =
nextDouble();<a name="line.60"></a>
+<span class="sourceLineNo">061</span> final double alpha = 2 *
Math.PI * x;<a name="line.61"></a>
+<span class="sourceLineNo">062</span> final double r = Math.sqrt(-2
* Math.log(y));<a name="line.62"></a>
+<span class="sourceLineNo">063</span><a name="line.63"></a>
+<span class="sourceLineNo">064</span> // Return the first element
of the generated pair.<a name="line.64"></a>
+<span class="sourceLineNo">065</span> random = r *
Math.cos(alpha);<a name="line.65"></a>
+<span class="sourceLineNo">066</span><a name="line.66"></a>
+<span class="sourceLineNo">067</span> // Keep second element of the
pair for next invocation.<a name="line.67"></a>
+<span class="sourceLineNo">068</span> nextGaussian = r *
Math.sin(alpha);<a name="line.68"></a>
+<span class="sourceLineNo">069</span> } else {<a name="line.69"></a>
+<span class="sourceLineNo">070</span> // Use the second element of
the pair (generated at the<a name="line.70"></a>
+<span class="sourceLineNo">071</span> // previous invocation).<a
name="line.71"></a>
+<span class="sourceLineNo">072</span> random = nextGaussian;<a
name="line.72"></a>
<span class="sourceLineNo">073</span><a name="line.73"></a>
-<span class="sourceLineNo">074</span> return standardDeviation * random
+ mean;<a name="line.74"></a>
-<span class="sourceLineNo">075</span> }<a name="line.75"></a>
-<span class="sourceLineNo">076</span><a name="line.76"></a>
-<span class="sourceLineNo">077</span> /** {@inheritDoc} */<a
name="line.77"></a>
-<span class="sourceLineNo">078</span> @Override<a name="line.78"></a>
-<span class="sourceLineNo">079</span> public String toString() {<a
name="line.79"></a>
-<span class="sourceLineNo">080</span> return "Box-Muller Gaussian
deviate [" + super.toString() + "]";<a name="line.80"></a>
-<span class="sourceLineNo">081</span> }<a name="line.81"></a>
-<span class="sourceLineNo">082</span>}<a name="line.82"></a>
+<span class="sourceLineNo">074</span> // Both elements of the pair
have been used.<a name="line.74"></a>
+<span class="sourceLineNo">075</span> nextGaussian = Double.NaN;<a
name="line.75"></a>
+<span class="sourceLineNo">076</span> }<a name="line.76"></a>
+<span class="sourceLineNo">077</span><a name="line.77"></a>
+<span class="sourceLineNo">078</span> return standardDeviation * random
+ mean;<a name="line.78"></a>
+<span class="sourceLineNo">079</span> }<a name="line.79"></a>
+<span class="sourceLineNo">080</span><a name="line.80"></a>
+<span class="sourceLineNo">081</span> /** {@inheritDoc} */<a
name="line.81"></a>
+<span class="sourceLineNo">082</span> @Override<a name="line.82"></a>
+<span class="sourceLineNo">083</span> public String toString() {<a
name="line.83"></a>
+<span class="sourceLineNo">084</span> return "Box-Muller Gaussian
deviate [" + super.toString() + "]";<a name="line.84"></a>
+<span class="sourceLineNo">085</span> }<a name="line.85"></a>
+<span class="sourceLineNo">086</span>}<a name="line.86"></a>
Modified:
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/distribution/BoxMullerLogNormalSampler.html
==============================================================================
---
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/distribution/BoxMullerLogNormalSampler.html
(original)
+++
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/distribution/BoxMullerLogNormalSampler.html
Thu Apr 20 11:33:45 2017
@@ -38,7 +38,7 @@
<span class="sourceLineNo">030</span> /** Shape. */<a name="line.30"></a>
<span class="sourceLineNo">031</span> private final double shape;<a
name="line.31"></a>
<span class="sourceLineNo">032</span> /** Gaussian sampling. */<a
name="line.32"></a>
-<span class="sourceLineNo">033</span> private final
BoxMullerGaussianSampler gaussian;<a name="line.33"></a>
+<span class="sourceLineNo">033</span> private final
NormalizedGaussianSampler gaussian;<a name="line.33"></a>
<span class="sourceLineNo">034</span><a name="line.34"></a>
<span class="sourceLineNo">035</span> /**<a name="line.35"></a>
<span class="sourceLineNo">036</span> * @param rng Generator of uniformly
distributed random numbers.<a name="line.36"></a>
@@ -51,7 +51,7 @@
<span class="sourceLineNo">043</span> super(null); // Not used.<a
name="line.43"></a>
<span class="sourceLineNo">044</span> this.scale = scale;<a
name="line.44"></a>
<span class="sourceLineNo">045</span> this.shape = shape;<a
name="line.45"></a>
-<span class="sourceLineNo">046</span> gaussian = new
BoxMullerGaussianSampler(rng, 0, 1);<a name="line.46"></a>
+<span class="sourceLineNo">046</span> gaussian = new
BoxMullerNormalizedGaussianSampler(rng);<a name="line.46"></a>
<span class="sourceLineNo">047</span> }<a name="line.47"></a>
<span class="sourceLineNo">048</span><a name="line.48"></a>
<span class="sourceLineNo">049</span> /** {@inheritDoc} */<a
name="line.49"></a>
Added:
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/distribution/BoxMullerNormalizedGaussianSampler.html
==============================================================================
---
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/distribution/BoxMullerNormalizedGaussianSampler.html
(added)
+++
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/distribution/BoxMullerNormalizedGaussianSampler.html
Thu Apr 20 11:33:45 2017
@@ -0,0 +1,147 @@
+<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
"http://www.w3.org/TR/html4/loose.dtd";>
+<html lang="en">
+<head>
+<title>Source code</title>
+<link rel="stylesheet" type="text/css"
href="../../../../../../../stylesheet.css" title="Style">
+</head>
+<body>
+<div class="sourceContainer">
+<pre><span class="sourceLineNo">001</span>/*<a name="line.1"></a>
+<span class="sourceLineNo">002</span> * Licensed to the Apache Software
Foundation (ASF) under one or more<a name="line.2"></a>
+<span class="sourceLineNo">003</span> * contributor license agreements. See
the NOTICE file distributed with<a name="line.3"></a>
+<span class="sourceLineNo">004</span> * this work for additional information
regarding copyright ownership.<a name="line.4"></a>
+<span class="sourceLineNo">005</span> * The ASF licenses this file to You
under the Apache License, Version 2.0<a name="line.5"></a>
+<span class="sourceLineNo">006</span> * (the "License"); you may not use this
file except in compliance with<a name="line.6"></a>
+<span class="sourceLineNo">007</span> * the License. You may obtain a copy of
the License at<a name="line.7"></a>
+<span class="sourceLineNo">008</span> *<a name="line.8"></a>
+<span class="sourceLineNo">009</span> *
http://www.apache.org/licenses/LICENSE-2.0<a name="line.9"></a>
+<span class="sourceLineNo">010</span> *<a name="line.10"></a>
+<span class="sourceLineNo">011</span> * Unless required by applicable law or
agreed to in writing, software<a name="line.11"></a>
+<span class="sourceLineNo">012</span> * distributed under the License is
distributed on an "AS IS" BASIS,<a name="line.12"></a>
+<span class="sourceLineNo">013</span> * WITHOUT WARRANTIES OR CONDITIONS OF
ANY KIND, either express or implied.<a name="line.13"></a>
+<span class="sourceLineNo">014</span> * See the License for the specific
language governing permissions and<a name="line.14"></a>
+<span class="sourceLineNo">015</span> * limitations under the License.<a
name="line.15"></a>
+<span class="sourceLineNo">016</span> */<a name="line.16"></a>
+<span class="sourceLineNo">017</span>package
org.apache.commons.rng.sampling.distribution;<a name="line.17"></a>
+<span class="sourceLineNo">018</span><a name="line.18"></a>
+<span class="sourceLineNo">019</span>import
org.apache.commons.rng.UniformRandomProvider;<a name="line.19"></a>
+<span class="sourceLineNo">020</span><a name="line.20"></a>
+<span class="sourceLineNo">021</span>/**<a name="line.21"></a>
+<span class="sourceLineNo">022</span> * <a
href="https://en.wikipedia.org/wiki/Box%E2%80%93Muller_transform"><a
name="line.22"></a>
+<span class="sourceLineNo">023</span> * Box-Muller algorithm</a> for
sampling from Gaussian distribution with<a name="line.23"></a>
+<span class="sourceLineNo">024</span> * mean 0 and standard deviation 1.<a
name="line.24"></a>
+<span class="sourceLineNo">025</span> *<a name="line.25"></a>
+<span class="sourceLineNo">026</span> * @since 1.1<a name="line.26"></a>
+<span class="sourceLineNo">027</span> */<a name="line.27"></a>
+<span class="sourceLineNo">028</span>public class
BoxMullerNormalizedGaussianSampler<a name="line.28"></a>
+<span class="sourceLineNo">029</span> extends SamplerBase<a
name="line.29"></a>
+<span class="sourceLineNo">030</span> implements NormalizedGaussianSampler
{<a name="line.30"></a>
+<span class="sourceLineNo">031</span> /** Next gaussian. */<a
name="line.31"></a>
+<span class="sourceLineNo">032</span> private double nextGaussian =
Double.NaN;<a name="line.32"></a>
+<span class="sourceLineNo">033</span><a name="line.33"></a>
+<span class="sourceLineNo">034</span> /**<a name="line.34"></a>
+<span class="sourceLineNo">035</span> * @param rng Generator of uniformly
distributed random numbers.<a name="line.35"></a>
+<span class="sourceLineNo">036</span> */<a name="line.36"></a>
+<span class="sourceLineNo">037</span> public
BoxMullerNormalizedGaussianSampler(UniformRandomProvider rng) {<a
name="line.37"></a>
+<span class="sourceLineNo">038</span> super(rng);<a name="line.38"></a>
+<span class="sourceLineNo">039</span> }<a name="line.39"></a>
+<span class="sourceLineNo">040</span><a name="line.40"></a>
+<span class="sourceLineNo">041</span> /** {@inheritDoc} */<a
name="line.41"></a>
+<span class="sourceLineNo">042</span> @Override<a name="line.42"></a>
+<span class="sourceLineNo">043</span> public double sample() {<a
name="line.43"></a>
+<span class="sourceLineNo">044</span> final double random;<a
name="line.44"></a>
+<span class="sourceLineNo">045</span> if (Double.isNaN(nextGaussian))
{<a name="line.45"></a>
+<span class="sourceLineNo">046</span> // Generate a pair of
Gaussian numbers.<a name="line.46"></a>
+<span class="sourceLineNo">047</span><a name="line.47"></a>
+<span class="sourceLineNo">048</span> final double x =
nextDouble();<a name="line.48"></a>
+<span class="sourceLineNo">049</span> final double y =
nextDouble();<a name="line.49"></a>
+<span class="sourceLineNo">050</span> final double alpha = 2 *
Math.PI * x;<a name="line.50"></a>
+<span class="sourceLineNo">051</span> final double r = Math.sqrt(-2
* Math.log(y));<a name="line.51"></a>
+<span class="sourceLineNo">052</span><a name="line.52"></a>
+<span class="sourceLineNo">053</span> // Return the first element
of the generated pair.<a name="line.53"></a>
+<span class="sourceLineNo">054</span> random = r *
Math.cos(alpha);<a name="line.54"></a>
+<span class="sourceLineNo">055</span><a name="line.55"></a>
+<span class="sourceLineNo">056</span> // Keep second element of the
pair for next invocation.<a name="line.56"></a>
+<span class="sourceLineNo">057</span> nextGaussian = r *
Math.sin(alpha);<a name="line.57"></a>
+<span class="sourceLineNo">058</span> } else {<a name="line.58"></a>
+<span class="sourceLineNo">059</span> // Use the second element of
the pair (generated at the<a name="line.59"></a>
+<span class="sourceLineNo">060</span> // previous invocation).<a
name="line.60"></a>
+<span class="sourceLineNo">061</span> random = nextGaussian;<a
name="line.61"></a>
+<span class="sourceLineNo">062</span><a name="line.62"></a>
+<span class="sourceLineNo">063</span> // Both elements of the pair
have been used.<a name="line.63"></a>
+<span class="sourceLineNo">064</span> nextGaussian = Double.NaN;<a
name="line.64"></a>
+<span class="sourceLineNo">065</span> }<a name="line.65"></a>
+<span class="sourceLineNo">066</span><a name="line.66"></a>
+<span class="sourceLineNo">067</span> return random;<a
name="line.67"></a>
+<span class="sourceLineNo">068</span> }<a name="line.68"></a>
+<span class="sourceLineNo">069</span><a name="line.69"></a>
+<span class="sourceLineNo">070</span> /** {@inheritDoc} */<a
name="line.70"></a>
+<span class="sourceLineNo">071</span> @Override<a name="line.71"></a>
+<span class="sourceLineNo">072</span> public String toString() {<a
name="line.72"></a>
+<span class="sourceLineNo">073</span> return "Box-Muller normalized
Gaussian deviate [" + super.toString() + "]";<a name="line.73"></a>
+<span class="sourceLineNo">074</span> }<a name="line.74"></a>
+<span class="sourceLineNo">075</span>}<a name="line.75"></a>
+
+
+
+
+
+
+
+
+
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+<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
"http://www.w3.org/TR/html4/loose.dtd";>
+<html lang="en">
+<head>
+<title>Source code</title>
+<link rel="stylesheet" type="text/css"
href="../../../../../../../stylesheet.css" title="Style">
+</head>
+<body>
+<div class="sourceContainer">
+<pre><span class="sourceLineNo">001</span>/*<a name="line.1"></a>
+<span class="sourceLineNo">002</span> * Licensed to the Apache Software
Foundation (ASF) under one or more<a name="line.2"></a>
+<span class="sourceLineNo">003</span> * contributor license agreements. See
the NOTICE file distributed with<a name="line.3"></a>
+<span class="sourceLineNo">004</span> * this work for additional information
regarding copyright ownership.<a name="line.4"></a>
+<span class="sourceLineNo">005</span> * The ASF licenses this file to You
under the Apache License, Version 2.0<a name="line.5"></a>
+<span class="sourceLineNo">006</span> * (the "License"); you may not use this
file except in compliance with<a name="line.6"></a>
+<span class="sourceLineNo">007</span> * the License. You may obtain a copy of
the License at<a name="line.7"></a>
+<span class="sourceLineNo">008</span> *<a name="line.8"></a>
+<span class="sourceLineNo">009</span> *
http://www.apache.org/licenses/LICENSE-2.0<a name="line.9"></a>
+<span class="sourceLineNo">010</span> *<a name="line.10"></a>
+<span class="sourceLineNo">011</span> * Unless required by applicable law or
agreed to in writing, software<a name="line.11"></a>
+<span class="sourceLineNo">012</span> * distributed under the License is
distributed on an "AS IS" BASIS,<a name="line.12"></a>
+<span class="sourceLineNo">013</span> * WITHOUT WARRANTIES OR CONDITIONS OF
ANY KIND, either express or implied.<a name="line.13"></a>
+<span class="sourceLineNo">014</span> * See the License for the specific
language governing permissions and<a name="line.14"></a>
+<span class="sourceLineNo">015</span> * limitations under the License.<a
name="line.15"></a>
+<span class="sourceLineNo">016</span> */<a name="line.16"></a>
+<span class="sourceLineNo">017</span>package
org.apache.commons.rng.sampling.distribution;<a name="line.17"></a>
+<span class="sourceLineNo">018</span><a name="line.18"></a>
+<span class="sourceLineNo">019</span>/**<a name="line.19"></a>
+<span class="sourceLineNo">020</span> * Sampling from a Gaussian distribution
with given mean and<a name="line.20"></a>
+<span class="sourceLineNo">021</span> * standard deviation.<a
name="line.21"></a>
+<span class="sourceLineNo">022</span> *<a name="line.22"></a>
+<span class="sourceLineNo">023</span> * @since 1.1<a name="line.23"></a>
+<span class="sourceLineNo">024</span> */<a name="line.24"></a>
+<span class="sourceLineNo">025</span>public class GaussianSampler implements
ContinuousSampler {<a name="line.25"></a>
+<span class="sourceLineNo">026</span> /** Mean. */<a name="line.26"></a>
+<span class="sourceLineNo">027</span> private final double mean;<a
name="line.27"></a>
+<span class="sourceLineNo">028</span> /** standardDeviation. */<a
name="line.28"></a>
+<span class="sourceLineNo">029</span> private final double
standardDeviation;<a name="line.29"></a>
+<span class="sourceLineNo">030</span> /** Normalized Gaussian sampler. */<a
name="line.30"></a>
+<span class="sourceLineNo">031</span> private final
NormalizedGaussianSampler normalized;<a name="line.31"></a>
+<span class="sourceLineNo">032</span><a name="line.32"></a>
+<span class="sourceLineNo">033</span> /**<a name="line.33"></a>
+<span class="sourceLineNo">034</span> * @param normalized Generator of
N(0,1) Gaussian distributed random numbers.<a name="line.34"></a>
+<span class="sourceLineNo">035</span> * @param mean Mean of the Gaussian
distribution.<a name="line.35"></a>
+<span class="sourceLineNo">036</span> * @param standardDeviation Standard
deviation of the Gaussian distribution.<a name="line.36"></a>
+<span class="sourceLineNo">037</span> */<a name="line.37"></a>
+<span class="sourceLineNo">038</span> public
GaussianSampler(NormalizedGaussianSampler normalized,<a name="line.38"></a>
+<span class="sourceLineNo">039</span> double mean,<a
name="line.39"></a>
+<span class="sourceLineNo">040</span> double
standardDeviation) {<a name="line.40"></a>
+<span class="sourceLineNo">041</span> this.normalized = normalized;<a
name="line.41"></a>
+<span class="sourceLineNo">042</span> this.mean = mean;<a
name="line.42"></a>
+<span class="sourceLineNo">043</span> this.standardDeviation =
standardDeviation;<a name="line.43"></a>
+<span class="sourceLineNo">044</span> }<a name="line.44"></a>
+<span class="sourceLineNo">045</span><a name="line.45"></a>
+<span class="sourceLineNo">046</span> /** {@inheritDoc} */<a
name="line.46"></a>
+<span class="sourceLineNo">047</span> @Override<a name="line.47"></a>
+<span class="sourceLineNo">048</span> public double sample() {<a
name="line.48"></a>
+<span class="sourceLineNo">049</span> return standardDeviation *
normalized.sample() + mean;<a name="line.49"></a>
+<span class="sourceLineNo">050</span> }<a name="line.50"></a>
+<span class="sourceLineNo">051</span><a name="line.51"></a>
+<span class="sourceLineNo">052</span> /** {@inheritDoc} */<a
name="line.52"></a>
+<span class="sourceLineNo">053</span> @Override<a name="line.53"></a>
+<span class="sourceLineNo">054</span> public String toString() {<a
name="line.54"></a>
+<span class="sourceLineNo">055</span> return "Gaussian deviate [" +
normalized.toString() + "]";<a name="line.55"></a>
+<span class="sourceLineNo">056</span> }<a name="line.56"></a>
+<span class="sourceLineNo">057</span>}<a name="line.57"></a>
+
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+</body>
+</html>
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+<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
"http://www.w3.org/TR/html4/loose.dtd";>
+<html lang="en">
+<head>
+<title>Source code</title>
+<link rel="stylesheet" type="text/css"
href="../../../../../../../stylesheet.css" title="Style">
+</head>
+<body>
+<div class="sourceContainer">
+<pre><span class="sourceLineNo">001</span>/*<a name="line.1"></a>
+<span class="sourceLineNo">002</span> * Licensed to the Apache Software
Foundation (ASF) under one or more<a name="line.2"></a>
+<span class="sourceLineNo">003</span> * contributor license agreements. See
the NOTICE file distributed with<a name="line.3"></a>
+<span class="sourceLineNo">004</span> * this work for additional information
regarding copyright ownership.<a name="line.4"></a>
+<span class="sourceLineNo">005</span> * The ASF licenses this file to You
under the Apache License, Version 2.0<a name="line.5"></a>
+<span class="sourceLineNo">006</span> * (the "License"); you may not use this
file except in compliance with<a name="line.6"></a>
+<span class="sourceLineNo">007</span> * the License. You may obtain a copy of
the License at<a name="line.7"></a>
+<span class="sourceLineNo">008</span> *<a name="line.8"></a>
+<span class="sourceLineNo">009</span> *
http://www.apache.org/licenses/LICENSE-2.0<a name="line.9"></a>
+<span class="sourceLineNo">010</span> *<a name="line.10"></a>
+<span class="sourceLineNo">011</span> * Unless required by applicable law or
agreed to in writing, software<a name="line.11"></a>
+<span class="sourceLineNo">012</span> * distributed under the License is
distributed on an "AS IS" BASIS,<a name="line.12"></a>
+<span class="sourceLineNo">013</span> * WITHOUT WARRANTIES OR CONDITIONS OF
ANY KIND, either express or implied.<a name="line.13"></a>
+<span class="sourceLineNo">014</span> * See the License for the specific
language governing permissions and<a name="line.14"></a>
+<span class="sourceLineNo">015</span> * limitations under the License.<a
name="line.15"></a>
+<span class="sourceLineNo">016</span> */<a name="line.16"></a>
+<span class="sourceLineNo">017</span>package
org.apache.commons.rng.sampling.distribution;<a name="line.17"></a>
+<span class="sourceLineNo">018</span><a name="line.18"></a>
+<span class="sourceLineNo">019</span>import
org.apache.commons.rng.UniformRandomProvider;<a name="line.19"></a>
+<span class="sourceLineNo">020</span><a name="line.20"></a>
+<span class="sourceLineNo">021</span>/**<a name="line.21"></a>
+<span class="sourceLineNo">022</span> * <a
href="https://en.wikipedia.org/wiki/Marsaglia_polar_method"><a
name="line.22"></a>
+<span class="sourceLineNo">023</span> * polar method</a> for sampling
from a Log normal distribution.<a name="line.23"></a>
+<span class="sourceLineNo">024</span> *<a name="line.24"></a>
+<span class="sourceLineNo">025</span> * @since 1.1<a name="line.25"></a>
+<span class="sourceLineNo">026</span> */<a name="line.26"></a>
+<span class="sourceLineNo">027</span>public class MarsagliaLogNormalSampler<a
name="line.27"></a>
+<span class="sourceLineNo">028</span> extends SamplerBase<a
name="line.28"></a>
+<span class="sourceLineNo">029</span> implements ContinuousSampler {<a
name="line.29"></a>
+<span class="sourceLineNo">030</span> /** Scale. */<a name="line.30"></a>
+<span class="sourceLineNo">031</span> private final double scale;<a
name="line.31"></a>
+<span class="sourceLineNo">032</span> /** Shape. */<a name="line.32"></a>
+<span class="sourceLineNo">033</span> private final double shape;<a
name="line.33"></a>
+<span class="sourceLineNo">034</span> /** Gaussian sampling. */<a
name="line.34"></a>
+<span class="sourceLineNo">035</span> private final
NormalizedGaussianSampler gaussian;<a name="line.35"></a>
+<span class="sourceLineNo">036</span><a name="line.36"></a>
+<span class="sourceLineNo">037</span> /**<a name="line.37"></a>
+<span class="sourceLineNo">038</span> * @param rng Generator of uniformly
distributed random numbers.<a name="line.38"></a>
+<span class="sourceLineNo">039</span> * @param scale Scale of the Log
normal distribution.<a name="line.39"></a>
+<span class="sourceLineNo">040</span> * @param shape Shape of the Log
normal distribution.<a name="line.40"></a>
+<span class="sourceLineNo">041</span> */<a name="line.41"></a>
+<span class="sourceLineNo">042</span> public
MarsagliaLogNormalSampler(UniformRandomProvider rng,<a name="line.42"></a>
+<span class="sourceLineNo">043</span>
double scale,<a name="line.43"></a>
+<span class="sourceLineNo">044</span>
double shape) {<a name="line.44"></a>
+<span class="sourceLineNo">045</span> super(null); // Not used.<a
name="line.45"></a>
+<span class="sourceLineNo">046</span> this.scale = scale;<a
name="line.46"></a>
+<span class="sourceLineNo">047</span> this.shape = shape;<a
name="line.47"></a>
+<span class="sourceLineNo">048</span> gaussian = new
MarsagliaNormalizedGaussianSampler(rng);<a name="line.48"></a>
+<span class="sourceLineNo">049</span> }<a name="line.49"></a>
+<span class="sourceLineNo">050</span><a name="line.50"></a>
+<span class="sourceLineNo">051</span> /** {@inheritDoc} */<a
name="line.51"></a>
+<span class="sourceLineNo">052</span> @Override<a name="line.52"></a>
+<span class="sourceLineNo">053</span> public double sample() {<a
name="line.53"></a>
+<span class="sourceLineNo">054</span> return Math.exp(scale + shape *
gaussian.sample());<a name="line.54"></a>
+<span class="sourceLineNo">055</span> }<a name="line.55"></a>
+<span class="sourceLineNo">056</span><a name="line.56"></a>
+<span class="sourceLineNo">057</span> /** {@inheritDoc} */<a
name="line.57"></a>
+<span class="sourceLineNo">058</span> @Override<a name="line.58"></a>
+<span class="sourceLineNo">059</span> public String toString() {<a
name="line.59"></a>
+<span class="sourceLineNo">060</span> return "Marsaglia Log Normal [" +
gaussian.toString() + "]";<a name="line.60"></a>
+<span class="sourceLineNo">061</span> }<a name="line.61"></a>
+<span class="sourceLineNo">062</span>}<a name="line.62"></a>
+
+
+
+
+
+
+
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+
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+</pre>
+</div>
+</body>
+</html>
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Thu Apr 20 11:33:45 2017
@@ -0,0 +1,157 @@
+<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
"http://www.w3.org/TR/html4/loose.dtd";>
+<html lang="en">
+<head>
+<title>Source code</title>
+<link rel="stylesheet" type="text/css"
href="../../../../../../../stylesheet.css" title="Style">
+</head>
+<body>
+<div class="sourceContainer">
+<pre><span class="sourceLineNo">001</span>/*<a name="line.1"></a>
+<span class="sourceLineNo">002</span> * Licensed to the Apache Software
Foundation (ASF) under one or more<a name="line.2"></a>
+<span class="sourceLineNo">003</span> * contributor license agreements. See
the NOTICE file distributed with<a name="line.3"></a>
+<span class="sourceLineNo">004</span> * this work for additional information
regarding copyright ownership.<a name="line.4"></a>
+<span class="sourceLineNo">005</span> * The ASF licenses this file to You
under the Apache License, Version 2.0<a name="line.5"></a>
+<span class="sourceLineNo">006</span> * (the "License"); you may not use this
file except in compliance with<a name="line.6"></a>
+<span class="sourceLineNo">007</span> * the License. You may obtain a copy of
the License at<a name="line.7"></a>
+<span class="sourceLineNo">008</span> *<a name="line.8"></a>
+<span class="sourceLineNo">009</span> *
http://www.apache.org/licenses/LICENSE-2.0<a name="line.9"></a>
+<span class="sourceLineNo">010</span> *<a name="line.10"></a>
+<span class="sourceLineNo">011</span> * Unless required by applicable law or
agreed to in writing, software<a name="line.11"></a>
+<span class="sourceLineNo">012</span> * distributed under the License is
distributed on an "AS IS" BASIS,<a name="line.12"></a>
+<span class="sourceLineNo">013</span> * WITHOUT WARRANTIES OR CONDITIONS OF
ANY KIND, either express or implied.<a name="line.13"></a>
+<span class="sourceLineNo">014</span> * See the License for the specific
language governing permissions and<a name="line.14"></a>
+<span class="sourceLineNo">015</span> * limitations under the License.<a
name="line.15"></a>
+<span class="sourceLineNo">016</span> */<a name="line.16"></a>
+<span class="sourceLineNo">017</span>package
org.apache.commons.rng.sampling.distribution;<a name="line.17"></a>
+<span class="sourceLineNo">018</span><a name="line.18"></a>
+<span class="sourceLineNo">019</span>import
org.apache.commons.rng.UniformRandomProvider;<a name="line.19"></a>
+<span class="sourceLineNo">020</span><a name="line.20"></a>
+<span class="sourceLineNo">021</span>/**<a name="line.21"></a>
+<span class="sourceLineNo">022</span> * <a
href="https://en.wikipedia.org/wiki/Marsaglia_polar_method"><a
name="line.22"></a>
+<span class="sourceLineNo">023</span> * Marsaglia polar method</a> for
sampling from a Gaussian distribution<a name="line.23"></a>
+<span class="sourceLineNo">024</span> * with mean 0 and standard deviation
1.<a name="line.24"></a>
+<span class="sourceLineNo">025</span> * This is a variation of the algorithm
implemented in<a name="line.25"></a>
+<span class="sourceLineNo">026</span> * {@link
BoxMullerNormalizedGaussianSampler}.<a name="line.26"></a>
+<span class="sourceLineNo">027</span> *<a name="line.27"></a>
+<span class="sourceLineNo">028</span> * @since 1.1<a name="line.28"></a>
+<span class="sourceLineNo">029</span> */<a name="line.29"></a>
+<span class="sourceLineNo">030</span>public class
MarsagliaNormalizedGaussianSampler<a name="line.30"></a>
+<span class="sourceLineNo">031</span> extends SamplerBase<a
name="line.31"></a>
+<span class="sourceLineNo">032</span> implements NormalizedGaussianSampler
{<a name="line.32"></a>
+<span class="sourceLineNo">033</span> /** Next gaussian. */<a
name="line.33"></a>
+<span class="sourceLineNo">034</span> private double nextGaussian =
Double.NaN;<a name="line.34"></a>
+<span class="sourceLineNo">035</span><a name="line.35"></a>
+<span class="sourceLineNo">036</span> /**<a name="line.36"></a>
+<span class="sourceLineNo">037</span> * @param rng Generator of uniformly
distributed random numbers.<a name="line.37"></a>
+<span class="sourceLineNo">038</span> */<a name="line.38"></a>
+<span class="sourceLineNo">039</span> public
MarsagliaNormalizedGaussianSampler(UniformRandomProvider rng) {<a
name="line.39"></a>
+<span class="sourceLineNo">040</span> super(rng);<a name="line.40"></a>
+<span class="sourceLineNo">041</span> }<a name="line.41"></a>
+<span class="sourceLineNo">042</span><a name="line.42"></a>
+<span class="sourceLineNo">043</span> /** {@inheritDoc} */<a
name="line.43"></a>
+<span class="sourceLineNo">044</span> @Override<a name="line.44"></a>
+<span class="sourceLineNo">045</span> public double sample() {<a
name="line.45"></a>
+<span class="sourceLineNo">046</span> if (Double.isNaN(nextGaussian))
{<a name="line.46"></a>
+<span class="sourceLineNo">047</span> // Rejection scheme for
selecting a pair that lies within the unit circle.<a name="line.47"></a>
+<span class="sourceLineNo">048</span> SAMPLE: while (true) {<a
name="line.48"></a>
+<span class="sourceLineNo">049</span> // Generate a pair of
numbers within [-1 , 1).<a name="line.49"></a>
+<span class="sourceLineNo">050</span> final double x = 2 *
nextDouble() - 1;<a name="line.50"></a>
+<span class="sourceLineNo">051</span> final double y = 2 *
nextDouble() - 1;<a name="line.51"></a>
+<span class="sourceLineNo">052</span> final double r2 = x * x +
y * y;<a name="line.52"></a>
+<span class="sourceLineNo">053</span><a name="line.53"></a>
+<span class="sourceLineNo">054</span> if (r2 > 1 || r2 == 0)
{<a name="line.54"></a>
+<span class="sourceLineNo">055</span> // Pair is not within
the unit circle: Generate another one.<a name="line.55"></a>
+<span class="sourceLineNo">056</span> continue SAMPLE;<a
name="line.56"></a>
+<span class="sourceLineNo">057</span> }<a name="line.57"></a>
+<span class="sourceLineNo">058</span><a name="line.58"></a>
+<span class="sourceLineNo">059</span> // Pair (x, y) is within
unit circle.<a name="line.59"></a>
+<span class="sourceLineNo">060</span> final double alpha =
Math.sqrt(-2 * Math.log(r2) / r2);<a name="line.60"></a>
+<span class="sourceLineNo">061</span><a name="line.61"></a>
+<span class="sourceLineNo">062</span> // Keep second element of
the pair for next invocation.<a name="line.62"></a>
+<span class="sourceLineNo">063</span> nextGaussian = alpha *
y;<a name="line.63"></a>
+<span class="sourceLineNo">064</span><a name="line.64"></a>
+<span class="sourceLineNo">065</span> // Return the first
element of the generated pair.<a name="line.65"></a>
+<span class="sourceLineNo">066</span> return alpha * x;<a
name="line.66"></a>
+<span class="sourceLineNo">067</span> }<a name="line.67"></a>
+<span class="sourceLineNo">068</span> } else {<a name="line.68"></a>
+<span class="sourceLineNo">069</span> // Use the second element of
the pair (generated at the<a name="line.69"></a>
+<span class="sourceLineNo">070</span> // previous invocation).<a
name="line.70"></a>
+<span class="sourceLineNo">071</span> final double r =
nextGaussian;<a name="line.71"></a>
+<span class="sourceLineNo">072</span><a name="line.72"></a>
+<span class="sourceLineNo">073</span> // Both elements of the pair
have been used.<a name="line.73"></a>
+<span class="sourceLineNo">074</span> nextGaussian = Double.NaN;<a
name="line.74"></a>
+<span class="sourceLineNo">075</span><a name="line.75"></a>
+<span class="sourceLineNo">076</span> return r;<a
name="line.76"></a>
+<span class="sourceLineNo">077</span> }<a name="line.77"></a>
+<span class="sourceLineNo">078</span> }<a name="line.78"></a>
+<span class="sourceLineNo">079</span><a name="line.79"></a>
+<span class="sourceLineNo">080</span> /** {@inheritDoc} */<a
name="line.80"></a>
+<span class="sourceLineNo">081</span> @Override<a name="line.81"></a>
+<span class="sourceLineNo">082</span> public String toString() {<a
name="line.82"></a>
+<span class="sourceLineNo">083</span> return "Box-Muller (with
rejection) normalized Gaussian deviate [" + super.toString() + "]";<a
name="line.83"></a>
+<span class="sourceLineNo">084</span> }<a name="line.84"></a>
+<span class="sourceLineNo">085</span>}<a name="line.85"></a>
+
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+</pre>
+</div>
+</body>
+</html>
Propchange:
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/distribution/MarsagliaNormalizedGaussianSampler.html
------------------------------------------------------------------------------
svn:eol-style = native
Added:
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/distribution/NormalizedGaussianSampler.html
==============================================================================
---
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/distribution/NormalizedGaussianSampler.html
(added)
+++
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/distribution/NormalizedGaussianSampler.html
Thu Apr 20 11:33:45 2017
@@ -0,0 +1,96 @@
+<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
"http://www.w3.org/TR/html4/loose.dtd";>
+<html lang="en">
+<head>
+<title>Source code</title>
+<link rel="stylesheet" type="text/css"
href="../../../../../../../stylesheet.css" title="Style">
+</head>
+<body>
+<div class="sourceContainer">
+<pre><span class="sourceLineNo">001</span>/*<a name="line.1"></a>
+<span class="sourceLineNo">002</span> * Licensed to the Apache Software
Foundation (ASF) under one or more<a name="line.2"></a>
+<span class="sourceLineNo">003</span> * contributor license agreements. See
the NOTICE file distributed with<a name="line.3"></a>
+<span class="sourceLineNo">004</span> * this work for additional information
regarding copyright ownership.<a name="line.4"></a>
+<span class="sourceLineNo">005</span> * The ASF licenses this file to You
under the Apache License, Version 2.0<a name="line.5"></a>
+<span class="sourceLineNo">006</span> * (the "License"); you may not use this
file except in compliance with<a name="line.6"></a>
+<span class="sourceLineNo">007</span> * the License. You may obtain a copy of
the License at<a name="line.7"></a>
+<span class="sourceLineNo">008</span> *<a name="line.8"></a>
+<span class="sourceLineNo">009</span> *
http://www.apache.org/licenses/LICENSE-2.0<a name="line.9"></a>
+<span class="sourceLineNo">010</span> *<a name="line.10"></a>
+<span class="sourceLineNo">011</span> * Unless required by applicable law or
agreed to in writing, software<a name="line.11"></a>
+<span class="sourceLineNo">012</span> * distributed under the License is
distributed on an "AS IS" BASIS,<a name="line.12"></a>
+<span class="sourceLineNo">013</span> * WITHOUT WARRANTIES OR CONDITIONS OF
ANY KIND, either express or implied.<a name="line.13"></a>
+<span class="sourceLineNo">014</span> * See the License for the specific
language governing permissions and<a name="line.14"></a>
+<span class="sourceLineNo">015</span> * limitations under the License.<a
name="line.15"></a>
+<span class="sourceLineNo">016</span> */<a name="line.16"></a>
+<span class="sourceLineNo">017</span>package
org.apache.commons.rng.sampling.distribution;<a name="line.17"></a>
+<span class="sourceLineNo">018</span><a name="line.18"></a>
+<span class="sourceLineNo">019</span>/**<a name="line.19"></a>
+<span class="sourceLineNo">020</span> * Marker interface for a sampler that
generates values from an N(0,1)<a name="line.20"></a>
+<span class="sourceLineNo">021</span> * <a
href="https://en.wikipedia.org/wiki/Normal_distribution"><a
name="line.21"></a>
+<span class="sourceLineNo">022</span> * Gaussian distribution</a>.<a
name="line.22"></a>
+<span class="sourceLineNo">023</span> */<a name="line.23"></a>
+<span class="sourceLineNo">024</span>public interface
NormalizedGaussianSampler extends ContinuousSampler {}<a name="line.24"></a>
+
+
+
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+
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+
+
+
+
+</pre>
+</div>
+</body>
+</html>
Propchange:
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/distribution/NormalizedGaussianSampler.html
------------------------------------------------------------------------------
svn:eol-style = native
Modified:
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/distribution/PoissonSampler.html
==============================================================================
---
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/distribution/PoissonSampler.html
(original)
+++
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/apidocs/src-html/org/apache/commons/rng/sampling/distribution/PoissonSampler.html
Thu Apr 20 11:33:45 2017
@@ -54,7 +54,7 @@
<span class="sourceLineNo">046</span> /** Exponential. */<a
name="line.46"></a>
<span class="sourceLineNo">047</span> private final ContinuousSampler
exponential;<a name="line.47"></a>
<span class="sourceLineNo">048</span> /** Gaussian. */<a name="line.48"></a>
-<span class="sourceLineNo">049</span> private final ContinuousSampler
gaussian;<a name="line.49"></a>
+<span class="sourceLineNo">049</span> private final
NormalizedGaussianSampler gaussian;<a name="line.49"></a>
<span class="sourceLineNo">050</span> /** {@code log(n!)}. */<a
name="line.50"></a>
<span class="sourceLineNo">051</span> private final
InternalUtils.FactorialLog factorialLog;<a name="line.51"></a>
<span class="sourceLineNo">052</span><a name="line.52"></a>
@@ -72,7 +72,7 @@
<span class="sourceLineNo">064</span><a name="line.64"></a>
<span class="sourceLineNo">065</span> this.mean = mean;<a
name="line.65"></a>
<span class="sourceLineNo">066</span><a name="line.66"></a>
-<span class="sourceLineNo">067</span> gaussian = new
BoxMullerGaussianSampler(rng, 0, 1);<a name="line.67"></a>
+<span class="sourceLineNo">067</span> gaussian = new
MarsagliaNormalizedGaussianSampler(rng);<a name="line.67"></a>
<span class="sourceLineNo">068</span> exponential = new
AhrensDieterExponentialSampler(rng, 1);<a name="line.68"></a>
<span class="sourceLineNo">069</span> factorialLog = mean < PIVOT
?<a name="line.69"></a>
<span class="sourceLineNo">070</span> null : // Not used.<a
name="line.70"></a>
@@ -126,13 +126,13 @@
<span class="sourceLineNo">118</span> final double p2 = a2 /
aSum;<a name="line.118"></a>
<span class="sourceLineNo">119</span> final double c1 = 1 / (8 *
lambda);<a name="line.119"></a>
<span class="sourceLineNo">120</span><a name="line.120"></a>
-<span class="sourceLineNo">121</span> double x = 0;<a
name="line.121"></a>
-<span class="sourceLineNo">122</span> double y = 0;<a
name="line.122"></a>
-<span class="sourceLineNo">123</span> double v = 0;<a
name="line.123"></a>
-<span class="sourceLineNo">124</span> int a = 0;<a
name="line.124"></a>
-<span class="sourceLineNo">125</span> double t = 0;<a
name="line.125"></a>
-<span class="sourceLineNo">126</span> double qr = 0;<a
name="line.126"></a>
-<span class="sourceLineNo">127</span> double qa = 0;<a
name="line.127"></a>
+<span class="sourceLineNo">121</span> double x;<a
name="line.121"></a>
+<span class="sourceLineNo">122</span> double y;<a
name="line.122"></a>
+<span class="sourceLineNo">123</span> double v;<a
name="line.123"></a>
+<span class="sourceLineNo">124</span> int a;<a name="line.124"></a>
+<span class="sourceLineNo">125</span> double t;<a
name="line.125"></a>
+<span class="sourceLineNo">126</span> double qr;<a
name="line.126"></a>
+<span class="sourceLineNo">127</span> double qa;<a
name="line.127"></a>
<span class="sourceLineNo">128</span> while (true) {<a
name="line.128"></a>
<span class="sourceLineNo">129</span> final double u =
nextDouble();<a name="line.129"></a>
<span class="sourceLineNo">130</span> if (u <= p1) {<a
name="line.130"></a>
Modified:
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/checkstyle.html
==============================================================================
---
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/checkstyle.html
(original)
+++
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/checkstyle.html
Thu Apr 20 11:33:45 2017
@@ -1,13 +1,13 @@
<!DOCTYPE html>
<!--
- | Generated by Apache Maven Doxia at 12 December 2016
+ | Generated by Apache Maven Doxia at 20 April 2017
| Rendered using Apache Maven Fluido Skin 1.3.0
-->
<html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
- <meta name="Date-Revision-yyyymmdd" content="20161212" />
+ <meta name="Date-Revision-yyyymmdd" content="20170420" />
<meta http-equiv="Content-Language" content="en" />
<title>RNG – Checkstyle Results</title>
@@ -40,8 +40,8 @@
<a class="brand"
href="http://commons.apache.org/proper/commons-rng/commons-rng-sampling/";>Apache
Commons RNG Sampling ™</a>
<ul class="nav">
- <li id="publishDate">Last Published: 12 December 2016</li>
- <li class="divider">|</li> <li id="projectVersion">Version: 1.0</li>
+ <li id="publishDate">Last Published: 20 April 2017</li>
+ <li class="divider">|</li> <li id="projectVersion">Version:
1.1-SNAPSHOT</li>
</ul>
<div class="pull-right"> <ul class="nav">
<li>
@@ -88,7 +88,7 @@
<a href="project-info.html" title="Project Information">
Project Information</a>
</li>
-
<li class="expanded">
+
<li
class="expanded">
<a href="project-reports.html" title="Project Reports">
Project Reports</a>
<ul>
@@ -133,6 +133,10 @@
Checkstyle</a>
</li>
<li class="none">
+ <a href="clirr-report.html" title="Clirr">
+ Clirr</a>
+ </li>
+ <li class="none">
<a href="pmd.html" title="PMD">
PMD</a>
</li>
@@ -251,7 +255,7 @@
<th><img src="images/icon_warning_sml.gif" alt="" /> Warnings</th>
<th><img src="images/icon_error_sml.gif" alt="" /> Errors</th></tr>
<tr class="b">
-<td>24</td>
+<td>29</td>
<td>0</td>
<td>0</td>
<td>0</td></tr></table></div>
@@ -271,7 +275,7 @@
</div>
<div class="footer">
- <p>Copyright © 2016
+ <p>Copyright © 2016-2017
<a href="https://www.apache.org/";>The Apache Software
Foundation</a>.
All Rights Reserved.</p>
